Count missing values groupby

CLASS FEATURE1 FEATURE2 FEATURE3
  X      A       NaN      NaN
  X     NaN       A       NaN
  B      A        A        A
  
 df.drop('CLASS', 1).isna().groupby(df.CLASS, sort=False).sum().reset_index()

  CLASS  FEATURE1  FEATURE2  FEATURE3
0     X       1.0       1.0       2.0
1     B       0.0       0.0       0.0

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